PhD in Computer Science: Lund University is offering a PhD position in the area of sensor fusion for multi-task learning. This position is part of an exciting collaborative project aimed at developing a multimodal multitask learning framework for enhancing robot situational awareness in challenging environments.
Designation
Doctoral Student in Computer Science
Table: Key Information
| Detail | Information |
|---|---|
| Research Area | Sensor Fusion, Multi-task Learning |
| Location | Lund University, Lund County, Sweden |
| Employment Type | Temporary position (4 years) |
| Salary | Monthly salary |
| Positions Available | 1 |
| Start Date | As soon as possible, no later than December 15, 2026 |
| Last Application Date | March 6, 2026 |
Eligibility/Qualification
General Admission Requirements:
- Master’s degree or equivalent qualification.
- Alternatively, at least 240 credits with 60 from the second cycle.
Specific Admission Requirements:
- At least 60 second-cycle credits relevant to the research topic.
- MSc in Engineering in relevant fields (Computer Science, Electrical Engineering, etc.).
Additional Requirements:
- Strong mathematical skills and programming knowledge.
- Experience in Artificial Intelligence and Machine Learning.
- Good written and oral communication skills.
Other Qualifications:
- Knowledge in robot perception or related fields.
- Experience with ROS/ROS2 and PyTorch is preferred.
Description
The PhD project, supervised by Assoc. Prof. Eren E. Aksoy, will involve developing advanced AI methods for multi-modal sensor fusion, optimizing complex perception tasks such as object detection and semantic segmentation. The successful candidate will participate in research projects, seminars, and conferences, and will engage in a collaborative research environment within the Robotics and Semantic Systems division.
How to Apply
Interested candidates should submit their applications in English, including:
- CV and cover letter outlining interest in the research project.
- Copies of degree certificates confirming eligibility.
- Any additional documents (grade transcripts, references, etc.).
Last Date for Apply
Applications must be submitted by March 6, 2026.
For more details, please contact Assoc. Prof. Eren E. Aksoy at eren.aksoy@cs.lth.se.
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